“On-site Example-based Material Appearance Digitization” by Lin, Peers and Ghosh

  • ©Yiming Lin, Pieter Peers, and Abhijeet Ghosh

  • ©Yiming Lin, Pieter Peers, and Abhijeet Ghosh

  • ©Yiming Lin, Pieter Peers, and Abhijeet Ghosh

Conference:


Entry Number: 25

Title:

    On-site Example-based Material Appearance Digitization

Presenter(s):



Abstract:


    We present a novel example-based material appearance modeling method for digital content creation. The proposed method requires a single HDR photograph of an exemplar object made of a desired material under known environmental illumination. While conventional methods for appearance modeling require the object shape to be known, our method does not require prior knowledge of the shape of the exemplar, nor does it require recovering the shape, which improves robustness as well as simplify on-site appearance acquisition by non-expert users.

References:


    • Miika Aittala, Timo Aila, and Jaakko Lehtinen. 2016. Reflectance modeling by neural texture synthesis. ACM Transactions on Graphics 35, 4 (2016), 1–13. DOI:http: //dx.doi.org/10.1145/2897824.2925917 
    • Miika Aittala, Tim Weyrich, and Jaakko Lehtinen. 2015. Two-shot SVBRDF capture for stationary materials. ACM Trans. Graph. 34, 4 (2015), 110:1–13. DOI:http: //dx.doi.org/10.1145/2766967 
    • R.L. Cook and K.E. Torrance. 1981. A Reflectance Model for Computer Graphics. ACM SIGGRAPH Computer Graphics 15, 3 (1981), 307–316. DOI:http://dx.doi.org/10.1145/ 965161.806819 
    • Riviere, P. Peers, and A. Ghosh. 2016. Mobile Surface Reflectometry. Computer Graphics Forum 35, 1 (2016), 191–202. DOI:http://dx.doi.org/10.1111/cgf.12719 
    • Fabiano Romeiro and Todd Zickler. 2010. Blind reflectometry. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 6311 LNCS, PART 1 (2010), 45–58. DOI:http://dx.doi.org/10.1007/ 978-3-642-15549-9{_}4

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©Yiming Lin, Pieter Peers, and Abhijeet Ghosh ©Yiming Lin, Pieter Peers, and Abhijeet Ghosh

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